A Minimally Supervised Approach for Medical Image Quality Assessment in Domain Shift Settings
Author:
Affiliation:
1. A*STAR,Institute for Infocomm Research,Singapore
2. Oregon Health & Science University,USA
3. National Institutes of Health,National Eye Institute
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746837.pdf?arnumber=9746837
Reference18 articles.
1. Image quality classification for DR screening using deep learning
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4. Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation
5. Minimal-entropy correlation alignment for unsupervised deep domain adaptation;morerio,0
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